Head-to-head · Batch Photo Processing Software
XnConvert vs ImageMagick
XnConvert leads on 0 checks, ImageMagick on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreXnConvert · 9.4/10
- Free planboth
- Most featuresXnConvert · 4 of 4
XnConvert scores higher on our rubric for batch photo processing software: 9.4 against 9.2 out of 10; our editors rank them #1 and #2.
XnConvert is the better fit for affordable automated conversion across platforms. ImageMagick is the better fit for developers building automated image pipelines.
- XnConvert fits best
Affordable automated conversion across platforms
- ImageMagick fits best
Developers building automated image pipelines
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Side by side
| Feature | XnConvert 9.4/10 Visit ↗ | ImageMagick 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.2 |
| Ranking | #1 in Batch Photo Processing Software | #2 in Batch Photo Processing Software |
| Best for | Affordable automated conversion across platforms | Developers building automated image pipelines |
| Pricing model | Free plan + paid | Free |
| Starting price | €9/unit one-time | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Desktop | Desktop |
| Platforms | Windows, macOS, Linux | Windows, macOS, Linux |
| Support | Community, Docs | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features XnConvert 4/4 · ImageMagick 2/4 | ||
| RAW processing | ✓ | ✓ |
| Bulk renaming | ✓ (best) | Not checked yet |
| Bulk resizing | ✓ | ✓ |
| Watched folders | ✓ (best) | Not checked yet |
| Specs | ||
| Output formats | JPEG, TIFF, PNG, WebP | JPEG, PNG, GIF, TIFF, AVIF, JPEG XL, PDF, WebP |
| Supported platforms | Windows, macOS, Linux | Windows, macOS, Linux |
| Batch automation level | Fully automated | Fully automated |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | XnConvert is a desktop batch image converter for processing large collections of photos and other graphics. It runs on Windows, macOS, and Linux, supporting more than 500 input formats and exports to about 70 formats. Its audience includes… Read the review → |
ImageMagick is a free, open-source image-processing suite for creating, editing, composing, converting, and examining bitmap images. It is designed for developers, technical teams, publishing workflows, studios, commercial websites, and… Read the review → |
Strengths and trade-offs
XnConvert — where it wins
- Supports more than 500 input formats and exports to about 70 formats
- Combines more than 80 actions for resizing, metadata, renaming, and watermarks
- Watched folders and reusable presets support automated repeat workflows
Where it doesn't
- Commercial company use requires a paid license
- Exports to about 70 formats, fewer than its supported input formats
- Desktop-focused workflows may not suit browser-first teams
ImageMagick — where it wins
- Free, open-source software with no subscription plan
- Batch processing, scripting, and fully automated pipelines
- Supports more than 100 formats, including RAW camera files
Where it doesn't
- Primarily operated through command-line tools
- RAW support depends on the build and delegate libraries
- Requires technical integration for application-based workflows
- XnConvert9.4/10 · Free plan
A low-cost desktop tool for automated, multi-format batch image processing.
Visit XnConvertFull verdict → - ImageMagick9.2/10 · Free plan
A capable command-line toolkit for developers building automated image pipelines.
Visit ImageMagickFull verdict →
More comparisons
- XnConvert vs BatchPhoto
- XnConvert vs reaConverter
- XnConvert vs ImBatch
- XnConvert vs Light Image Resizer
- XnConvert vs GraphicsMagick
- XnConvert vs Batch Image Splitter
- ImageMagick vs BatchPhoto
- ImageMagick vs reaConverter
All batch photo processing software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





